Evidence map›Paper›PMID 18322053›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2008

Cardiovascular outcomes in the outpatient kidney transplant clinic: the Framingham risk score revisited.

Bryce Kiberd, Romuald Panek

Registry-linked trialAbstract read
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02058875 (Comparisons Of Inflammatory Biomarkers And Cardiovascular Risk Scores Before And After Conversion To Full Dose Myfortic® Using Two Hour Neoral® Monitoring.), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02058875 phase4withdrawnnot on this mapstarted 2014, after this paper: background citation

Comparisons Of Inflammatory Biomarkers And Cardiovascular Risk Scores Before And After Conversion To Full Dose Myfortic® Using Two Hour Neoral® Monitoring.

TypeinterventionalSponsorUniversity of SaskatchewanRan2014 to 2015Enrolled0ConditionsCardiovascular Disease, Cardiovascular Outcomes, Kidney Transplant Recipients, Kidney TransplantationArmsMyfortic®, Neoral®, Cellcept®, Prednisone
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. New kidneys, old risks: cardiovascular challenges after transplantation.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Review
  3. Article
  4. Inflammation in the early phase after kidney transplantation is associated with increased long-term all-cause mortality.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  5. Observational
  6. Article
  7. Article
  8. Induction immunosuppression agents as risk factors for incident cardiovascular events and mortality after kidney transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019
    Article
  9. Observational
  10. Article
  11. Article
  12. Interaction of Serum Phosphate with Age as Predictors of Cardiovascular Risk Scores in Stable Renal Transplant Recipients.The International journal of angiology : official publication of the International College of Angiology, Inc · 2017
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Bryce KiberdDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. bryce.kiberd@dal.ca
Romuald Panek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCardiovascular disease is an important cause of morbidity and death in kidney transplant recipients. This study examines the Framingham risk score's ability to predict cardiac and stroke events. Because cyclosporine and tacrolimus have different cardiovascular risk profiles, these agents were also examined. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: A prospective cohort evaluation of 540 patients were followed for a median of 4.7 yr in an outpatient kidney transplant clinic. Baseline Framingham risk scores were calculated and all cardiovascular outcomes were collected.

resultsRates per 100 patient-years were 1.79 for cardiac and 0.78 for stroke events. The ratio of observed-to-predicted cardiac events was 1.64-fold higher [95% confidence interval (CI) 1.19 to 2.94] for the cohort, 2.74-fold higher (95% CI 1.70 to 4.24) in patients age 45 to 60 with prior cardiac disease or diabetes mellitus, but not higher in other age subgroups. Stroke was not increased above predicted. Risk scores for cardiac (c = 0.65, P = 0.003) and stroke (c = 0.71, P = 0.004) events were modest predictors. 10-yr event scores for cardiac (9.3 versus 13.5%, P < 0.001) and stroke (7.1 versus 10.0%, P = 0.002) were lower for tacrolimus compared with cyclosporine-treated patients. However observed cardiac events were higher in tacrolimus recipients (2.50, 95% CI 1.09 to 5.90) in an adjusted Cox model.

conclusionsAlthough risk scores are only modest predictors, patients with the highest event rates are easily identified. Treating high-risk patients with cardioprotective medications should remain a priority.

Indexed as

Ambulatory Care FacilitiesAdultAgedAge FactorsCardiovascular AgentsCyclosporineDiabetes ComplicationsDisease-Free SurvivalFemaleHealth Status IndicatorsHeart DiseasesHumansImmunosuppressive AgentsKidney TransplantationMaleMiddle AgedCardiovascular AgentsCyclosporineImmunosuppressive AgentsTacrolimus

Identifiers

PMID18322053
PMCPMC2386708

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.